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Loss is about 2.x, but mAP is not good, only about 66.x%.

Open XiangqianMa opened this issue 6 years ago • 4 comments

I have tried many training tricks, such as different batch_size, different learning rate. But, almost each loss is 2.x. I checked other issues, their mAP are 7x.x%, but mine is 66.x%. So does anyone encounter such problem?

XiangqianMa avatar May 01 '19 11:05 XiangqianMa

My loss is also 2.x, mAP is 68.3%

yinyuhangi avatar Nov 22 '19 00:11 yinyuhangi

Have you solved your problem?

rechealzrq avatar Dec 04 '20 07:12 rechealzrq

I have tried many training tricks, such as different batch_size, different learning rate. But, almost each loss is 2.x. I checked other issues, their mAP are 7x.x%, but mine is 66.x%. So does anyone encounter such problem?

I have tried many training tricks, such as different batch_size, different learning rate. But, almost each loss is 2.x. I checked other issues, their mAP are 7x.x%, but mine is 66.x%. So does anyone encounter such problem?

I have tried many training tricks, such as different batch_size, different learning rate. But, almost each loss is 2.x. I checked other issues, their mAP are 7x.x%, but mine is 66.x%. So does anyone encounter such problem?

I have the same problem,Did you find the reason?

ChenT1994 avatar Dec 04 '20 09:12 ChenT1994

I have tried many training tricks, such as different batch_size, different learning rate. But, almost each loss is 2.x. I checked other issues, their mAP are 7x.x%, but mine is 66.x%. So does anyone encounter such problem?

我最近也遇到了这个问题,你解决了吗?求指导,谢谢

Bobby2090 avatar Feb 06 '21 12:02 Bobby2090